This paper proposes a method for allocating and controlling batteries' state of charge in unbalanced distribution systems. Restrictions related to the depth of discharges and the relation between the nominal and operating capacity of the battery in relation to the operating temperature are proposed. The proposed optimization set is a mixed integer nonlinear with temporal coupling, so the genetic algorithm method was used with the quasi-static times series technique to solve the proposed problem. A simple technique to verify the economic feasibility of battery allocation using a k-factor is also proposed. The power flow equations were solved using OpenDSS. Several operational tests were accomplished using the IEEE34 Node Test Feeders. The results show that the consideration of deep discharge and operating temperature considerably impact the battery operating cycle and battery lifetime.

中文翻译：

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考虑温度约束的配电系统中的电池分配和 SOC

本文提出了一种在不平衡配电系统中分配和控制电池充电状态的方法。提出了与放电深度以及电池标称容量和工作容量与工作温度之间的关系相关的限制。所提出的优化集是具有时间耦合的混合整数非线性，因此遗传算法方法结合准静态时间序列技术来解决所提出的问题。还提出了一种使用 k 因子验证电池分配的经济可行性的简单技术。使用 OpenDSS 求解潮流方程。使用 IEEE34 节点测试馈线完成了多项操作测试。结果表明，深度放电和工作温度的考虑对电池的工作周期和电池寿命有很大影响。